|
Numerical comparison of analysis methods applied to the real data |
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| Comb. (kest) |
Comb. (kfix = 0.5) |
Comb. (kfix = 0.25) |
Unaffected |
Single Channel |
SC (damaged) |
Inclusive |
|
|
|
|||||||
| Combined(kest) |
- |
0.88 |
0.89 |
0.83 |
0.70 |
0.62 |
0.57 |
| Combined(kfix = 0.5) |
904 |
- |
0.98 |
0.80 |
0.78 |
0.71 |
0.56 |
| Combined(kfix = 0.25) |
842 |
922 |
- |
0.88 |
0.74 |
0.66 |
0.57 |
| Unaffected Data |
669 |
723 |
788 |
- |
0.58 |
0.48 |
0.53 |
| Single Channel |
750 |
725 |
686 |
575 |
- |
0.84 |
0.56 |
| SC (damaged arrays) |
710 |
656 |
612 |
492 |
788 |
- |
0.53 |
| Inclusive |
620 |
629 |
631 |
591 |
660 |
605 |
- |
|
For every pair of analyses: Presented in the upper right corner is the Spearman's rank correlation comparing for all genes the two sets of log-odds of being differentially expressed. In the bottom left is given the number of genes common to the top 1,000 returned by the two methods. | |||||||
Lynch et al. BMC Bioinformatics 2007 8:26 doi:10.1186/1471-2105-8-26 |
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